Name
Abstract | ||
|---|---|---|
Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1587/transinf.E97.D.1304 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
image forensics, content-aware image resizing, seam carving, seam insertion | Computer vision,Computer graphics (images),Computer science,Seam carving,Image forensics,Artificial intelligence | Journal |
Volume | Issue | ISSN |
E97D | 5 | 1745-1361 |
Citations | PageRank | References |
13 | 0.69 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seung-Jin Ryu | 1 | 102 | 8.03 |
| Hae-Yeoun Lee | 2 | 287 | 23.04 |
| Heung-kyu Lee | 3 | 1016 | 87.53 |